ArticleJournal for person-oriented research2020
Early Warning Signals Based on Momentary Affect Dynamics can Expose Nearby Transitions in Depression: A Confirmatory Single-Subject Time-Series Study.
Article in Journal for person-oriented research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it, 113 citations in OpenAlex.
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- Predicting weekly instability in depressive symptoms among individuals diagnosed with Major Depressive Disorder using deep learning and passively-collected movement data.Journal of affective disorders reports · 2026Article
- Diminished anticipatory-consummatory pleasure interplay in high schizotypal traits and subthreshold depression: potential risk for schizophrenia and depression.Schizophrenia (Heidelberg, Germany) · 2026Article
- Multimodal prediction of future depressive symptoms in adolescents.BMC psychiatry · 2025Article
- Multimodal Prediction of Future Depressive Symptoms in Adolescents.Research square · 2025Article
- Anticipating depression trajectories by measuring plasticity and change through symptom network dynamics.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Examining the research methods of early warning signals in clinical psychology through a theoretical lens.BMC psychiatry · 2025Review
- The longitudinal relations between physical activity, inflammation, and depression in the Health and Retirement Study.PLOS mental health · 2025Article
- Critical Fluctuations as an Early Warning Signal of Sports Injuries? A Proof of Concept Using Football Monitoring Data.Sports medicine - open · 2024Article
- Network analysis: An overview for mental health research.International journal of methods in psychiatric research · 2024Review
- Examining time-varying dynamics of co-occurring depressed mood and anxiety.Journal of affective disorders · 2024Article
- Is depression a global brain disorder with topographic dynamic reorganization?Translational psychiatry · 2024Review
- Real-time detection of mean and variance changes in experience sampling data: A comparison of existing and novel statistical process control approaches.Behavior research methods · 2024Article
- Depressive symptoms as a heterogeneous and constantly evolving dynamical system: Idiographic depressive symptom networks of rapid symptom changes among persons with major depressive disorder.Journal of psychopathology and clinical science · 2024Article
- Individual-specific change points in circadian rest-activity rhythm and sleep in individuals tapering their antidepressant medication: an actigraphy study.Scientific reports · 2024Article
- The 10th yearly volume of JPOR is complete.Journal for person-oriented research · 2024Article
- Transitions and Resilience in Ecological Momentary Assessment: A Multiple Single-Case Study.Journal for person-oriented research · 2024Article
- Article
- Elevated emotion network connectivity is associated with fluctuations in depression.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Detecting Prolonged Stress in Real Life Using Wearable Biosensors and Ecological Momentary Assessments: Naturalistic Experimental Study.Journal of medical Internet research · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn complex systems early warning signals such as rising autocorrelation, variance and network connectivity are hypothesized to anticipate relevant shifts in a system. For direct evidence hereof in depression, designs are needed in which early warning signals and symptom transitions are prospectively assessed within an individual. Therefore, this study aimed to detect personalized early warning signals preceding the occurrence of a major symptom transition.
methodsSix single-subject time-series studies were conducted, collecting frequent observations of momentary affective states during a time-period when participants were at increased risk of a symptom transition. Momentary affect states were reported three times a day over three to six months (95-183 days). Depressive symptoms were measured weekly using the Symptom CheckList-90. Presence of sudden symptom transitions was assessed using change point analysis. Early warning signals were analysed using moving window techniques.
resultsAs change point analysis revealed a significant and sudden symptom transition in one participant in the studied period, early warning signals were examined in this person. Autocorrelation (
conclusionsThis study replicated the findings of a previous study and confirmed the presence of rising early warning signals a month before the symptom transition occurred. Results show the potential of early warning signals to improve personalized risk assessment in the field of psychiatry.
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